Open AccessMonitoring system of land cover quality using segmentation and content base image retrieval methods
Author(s) -
Dwi Handoko,
Suhendro Yusuf Irianto,
Sri Karnila
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1444/1/012013
Subject(s) - remote sensing , land cover , computer science , satellite , precision and recall , earth observation , content based image retrieval , image retrieval , segmentation , aerial photography , satellite imagery , photography , computer vision , image (mathematics) , artificial intelligence , geography , land use , civil engineering , aerospace engineering , engineering , art , visual arts
This paper tries to explore level and accuracy Content Based Image Retrieval method on Landsat imaginary. The images include an areal photography and land satellite photoraphy or Landsat which widely used and recognize for spatial information analysis. The analysis uses mapping of situation or state of earth’s surface, particularly the land surface. Landsat can be used to create topographic map, determining of attitude or height model of a certain place in the earth. Aerial photographs are used to detect changes of earth surface, in this work the changes by using Content Based Image retrieval or CBIR. The accuracy changes measurement calculates using precision and recall parameters. In this paper, Landsat images also used to detect the appear and dis appear of vegetation and other objects on the earth. More than 100 Landsat images used in this work, and around 15 images were use d as queries. The results show that accuracy of image retrieval is a quite good, which more than 75 %.